Role Summary:
We are seeking aSolution Architect - AI Infrastructureto join our fast-scaling team.In this role, you will act as the technical bridge between customers, Product Management, Engineering, Operations, and Delivery teams, helping organisations successfully adoptEra4’s AI infrastructure services.
Key Responsibilities:
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Lead technical discovery with customers to understand AI workloads, infrastructure requirements, sovereignty needs, and success criteria.
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Design scalable solutions across Bare Metal,BMaaS, Kubernetes platforms, and AI infrastructure services.
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Own technical proof-of-concepts, pilots, benchmarks, and architecture reviews.
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Act as the voice of the customer,identifyingproduct gaps and influencing roadmap priorities.
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Develop reusable reference architectures, deployment patterns, and best practices.
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Translate customer demand into infrastructure, capacity, networking, and service requirements for future Era4 sites.
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Define onboarding, readiness, and production transition requirements across Engineering, Operations, PMO, and Customer Success teams.
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Deliver technical workshops for customers, partners, and internal teams.
Essential Experience:
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Proven experience in a customer-facing Solutions Architect, Solutions Engineer, Cloud Architect, or Technical Consultant role.
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Strong understanding of AI infrastructure, GPU platforms, Kubernetes, and cloud-native architectures.
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Ability to translate customer requirements into scalable, supportable technical solutions.
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Experience leading technical discovery, architecture reviews, proofs of concept, and customer workshops.
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Strong communicationskills with the ability to engage both technical and executive stakeholders.
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Experience working closely with Product, Engineering, Operations, and commercial teams.
One or more would be an advantage:
You do not need deep experience in every area. We care most about customer-facing architectureexpertise, infrastructure credibility, and the ability to bridge customer requirements with platform capabilities.
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AI/ML infrastructure, GPU platforms, distributed training, inference workloads, or high-performance computing (HPC) environments.
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Kubernetes platform engineering, MLOps, or cloud-native platform operations.
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Infrastructure automation and Infrastructure-as-Code technologies.
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Large-scale storage, high-performance networking, or data-centre infrastructure.
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Product strategy, roadmap development, or customer-driven platform evolution.
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Customer onboarding, service transition, or technical account management activities
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Sovereign cloud, public sector, defence, healthcare, or other regulated environments.
Why JoinEra4:
You’llbe joining a mission-driven start-up building critical national infrastructure, where operational excellence directly enables growth. This role offers high visibility with leadership, real autonomy, and the chance to shape how a next-generation companyoperatesat scale.
Diversity & Inclusion:
Era4is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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